Data Based MPPT Technique for Photovoltaic System

被引:0
作者
Thakur, Tilak [1 ]
Bedi, Kuldeep Singh [1 ]
机构
[1] PEC Univ Technol, Dept Elect Engn, Chandigarh, India
来源
2011 ANNUAL IEEE INDIA CONFERENCE (INDICON-2011): ENGINEERING SUSTAINABLE SOLUTIONS | 2011年
关键词
photovoltaic; irradiation;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This paper presents a control scheme which controls the active and reactive power flow from the photovoltaic system to grid connected load. PV system can be connected to the grid using two stage or single stage method. In this paper we use single stage method to reduce the cost and losses of the system. As we are injecting reactive power to grid when there is no solar irradiation. To inject reactive power, system extracts active power from the grid when there is no solar irradiation. Therefore the converter has to work continuously with grid. This forces to use single stage system. Control scheme is implemented in such a manner that it provides maximum active power from the PV module and reactive power as per the requirement of the load or grid. Photovoltaic module simulation is done using the basic equation. Photovoltaic module is taken as a voltage source supplying maximum power using the data based MPPT technique. Data is generated from the photovoltaic power-voltage characteristics. According to the data control scheme changes the PV modules voltage and with this method MPPT can be achieve. To study the effect of solar irradiation variation on the output power flow from photovoltaic system to grid. Reactive power is independent of the solar irradiation. Passive filter is used to reduce the harmonic produced by two level inverter.
引用
收藏
页数:5
相关论文
共 50 条
[41]   MPPT Control of Photovoltaic System using FLC-PI Controller [J].
Lee, Chang-Uk ;
Ko, Jae-Sub ;
Seo, Tae-Yaung ;
Chung, Dong-Hwa .
2013 13TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS 2013), 2013, :437-439
[42]   Input Filtering of MPPT Control by Exponential Moving Average in Photovoltaic System [J].
Tajiri, Hiroki ;
Kumano, Teruhisa .
2012 IEEE INTERNATIONAL CONFERENCE ON POWER AND ENERGY (PECON), 2012, :372-377
[43]   MPPT control of photovoltaic generation using MLPO method [J].
Choi J.-S. ;
Chung D.-H. .
Transactions of the Korean Institute of Electrical Engineers, 2011, 60 (11) :2064-2075
[44]   Modeling of a photovoltaic system with different MPPT techniques using MATLAB/Simulink [J].
Argyrou, Maria C. ;
Christodoulides, Paul ;
Kalogirou, Soteris A. .
2018 IEEE INTERNATIONAL ENERGY CONFERENCE (ENERGYCON), 2018,
[45]   A Complete Comparison of the two Maximum Power Point Tracking Technique (MPPT) for Photovoltaic systems [J].
Chowdhury, Ankit ;
Rout, Tanmay ;
Samal, Sarita ;
Maharana, Manoj Kumar .
2018 4TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENERGY SYSTEMS (ICEES), 2018, :72-76
[46]   Research on photovoltaic dynamic MPPT algorithm based on adaptive PSO optimization [J].
Lin, Shixian ;
Liao, Weiqiang .
JOURNAL OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING, 2024, 24 (01) :595-609
[47]   A novel hybrid gravitational and pattern search algorithm based MPPT controller with ANN and perturb and observe for photovoltaic system [J].
Salem Alkhalaf ;
Ziad M. Ali ;
Hitoshi Oikawa .
Soft Computing, 2022, 26 :7293-7315
[48]   Novel hybrid improved bat algorithm and fuzzy system based MPPT for photovoltaic under variable atmospheric conditions [J].
Ali, Ziad M. ;
Alquthami, Thamer ;
Alkhalaf, Salem ;
Norouzi, Hojat ;
Dadfar, Sajjad ;
Suzuki, Kengo .
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS, 2022, 52
[49]   Learning Automata based fuzzy MPPT controller for solar photovoltaic system under fast changing environmental conditions [J].
Mohammed, S. Sheik ;
Devaraj, D. ;
Ahamed, T. P. Imthias .
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2017, 32 (04) :3031-3041
[50]   Improved Watkins–Johnson topology-based photovoltaic MPPT converter [J].
Liang Hu ;
Yuan Luo .
Journal of Power Electronics, 2023, 23 :1789-1797